Search Results - software+%26+algorithms+%3e+digital+health

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A Data-Driven Approach to Quality Assurance for Imagers (Radiologists) Individually and Imaging Departments as a Whole (Case No. 2014-501)

Summary: UCLA researchers have developed innovative software that streamlines radiological data analysis to enhance patient outcomes, evaluate radiologist performance, and assess AI algorithms in a way that mirrors radiologist decision-making. Background: Radiological imaging is critical to disease diagnosis and treatment planning for a wide array...

Published: 3/7/2025 | Inventor(s): Dieter Enzmann, Corey Arnold, Alex Bui, William Hsu

Keywords(s): 3D tissue imaging, 3D ultrasound imaging, bioimaging, cell imaging, computational imaging, computational imaging task, Imaging, Magnetic Resonance Imaging, Magnetic Resonance Imaging Medical Physics, Magnetic Resonance Imaging Pathology, Magnetic Resonance Imaging Spin Polarization, Medical Imaging, Molecular Imaging, multi-contrast imaging, non-invasive imaging, Radiology, Radiology / Radiomitigation, three dimensional imaging

Category(s): Software & Algorithms, Software & Algorithms > AI Algorithms, Software & Algorithms > Image Processing, Software & Algorithms > Digital Health, Medical Devices, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems

Positive Unlabeled Learning With Bias Mitigation for Fair Prediction of Undiagnosed Alzheimer’s Disease (Case No. 2025-113)

Summary: UCLA researchers in the Department of Neurology have developed a software to predict the diagnosis of Alzheimer’s Disease without racial or ethnic biases. Background: Alzheimer’s Disease (AD) represents a major health and economic challenge in the United States. Despite its prevalence, Alzheimer’s remains significantly...

Published: 2/14/2025 | Inventor(s): Timothy Chang

Keywords(s): Alzheimers disease, artificial intelligence/machine learning models, electronic health records (EHR), medical bias reduction, Neurodegeneration Alzheimer's Disease Predictive Testing, neurological disorders, Neurology, personalized medicine

Category(s): Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Data Analytics, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing, Software & Algorithms > Programs, Diagnostic Markers > Aging, Therapeutics > CNS and Neurology

An Adaptive Approach for Synthetic Microvascular Network Generation (Case No. 2024-259)

Summary: UCLA researchers from the Department of Medicine have developed a method for synthetic microvascular network generation for improved coronary disease monitoring. Background: Synthetic microvascular network modeling can be used in diagnosing and managing microvascular diseases such as coronary microvascular disease (CMD). CMD is traditionally...

Published: 2/14/2025 | Inventor(s): Kim-Lien Nguyen, Mostafa Mahmoudi, Amirhosseini Arzani

Keywords(s):

Category(s): Medical Devices, Medical Devices > Cardiac, Medical Devices > Hospital Systems, Medical Devices > Medical Imaging, Medical Devices > Monitoring And Recording Systems, Software & Algorithms, Software & Algorithms > Digital Health

Comprehensive and Individualized Menopause Care Delivery Protocol With Technological Decision Support Aid (Case No. 2024-193)

Summary: Researchers in the UCLA Department of Obstetrics and Gynecology have developed a new clinical decision support system for improved menopause care. Background: Each year, approximately 1.3 million women in the United States enter menopause. This is often accompanied by symptoms such as hot flashes, mood changes, and sleep issues. In addition,...

Published: 2/14/2025 | Inventor(s): Rajita Patil, Erica Oberman, Brittany Davis, Rhonda Voskuhl, Kathleen Van Dyk, Ravi Aysola, Louise Dixon De Silva, Karol Watson, Lua Jafari, Julie Bernthal, Rashmi Mullur, Albert Shieh, Elizabeth Ko, Katie Hu, Aashini Master, Kelly Mccann, Kelsey Collins, Katherine Unverferth, Tamara Grisales, Amy Rosenman, Andrea Rapkin

Keywords(s): clinical care methodology, clinical decision support, EHR, EHR integration, electronic health records (EHR), FemTech, femtech medical device, lab results analysis, medical bias reduction, Menopause, menopause management, patient questionnaire, period, personalized medicine, predictive analytics, specialist referral, women’s health

Category(s): Software & Algorithms, Software & Algorithms > Programs, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > FemTech

MEDREX (Case No. 2024-244)

Summary: UCLA researchers have developed a new software package to reconcile medication lists between different electronic health records. Background: Reconciliation is a crucial process that ensures patients’ medication lists are accurate. This process is especially important for patients with memory impairments, who may be more vulnerable...

Published: 2/14/2025 | Inventor(s): Li Zhou, Richard Korf, Cindy Liu, Edmond Wen, Advaith Gowrishetty, Jonathan Xu, Nicole Ju

Keywords(s): Software, Software & Algorithms, Software Development Tools, Software-enabled learning

Category(s): Software & Algorithms, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Programs, Software & Algorithms > Data Analytics

Deep Neural Networks for Real-Time Non-invasive Continuous Peripheral Oxygen Saturation Monitoring (Case No. 2024-227)

Summary: UCLA researchers in the Department of Anesthesiology have developed a novel pulse oximetry methodology utilizing deep neural networks for non-invasive monitoring. Background: In the US alone, over 5 million patients are admitted to the ICU for oxygen saturation monitoring. They, as well as the more than 15 million patients undergoing surgery,...

Published: 2/14/2025 | Inventor(s): Sungsoo Kim, Sohee Kwon, Mia Markey, Alan Bovik, Akos Rudas, Ravi Pal, Maxime Cannesson

Keywords(s): Artifical Intelligence (Machine Learning, Data Mining), Blood Pressure, cardiovascular monitoring, central venous pressure (CVP), Continuous blood pressure monitoring, critical care, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, machine learning modeling, Monitoring (Medicine), neural network, non-invasive monitoring, Oxygen, Oxygen Saturation, pulmonary arterial pressure (PAP), Swan-Ganz catheter

Category(s): Medical Devices > Monitoring And Recording Systems, Software & Algorithms > Digital Health

Intraoperative Deep Learning Model for Imputation of the Continuous Central Venous Pressure (CVP) and Pulmonary Arterial Pressure (PAP) Waveforms From (Case No. 2024-224)

Summary: Researchers in the UCLA Department of Anesthesiology have developed a deep learning model to accurately represent and visualize hemodynamic waveforms, or blood flow patterns, with minimally invasive approaches. Background: Swan-Ganz (SG) catheters are used for precise cardiac hemodynamic evaluations. Indicated for patients with severe...

Published: 2/14/2025 | Inventor(s): Maxime Cannesson, Sungsoo Kim, Akos Rudas, Jeffrey Chiang, Ravi Pal

Keywords(s): active learning, Algorithm, algorithm-based testing, arterial blood pressure (ABP), Artifical Intelligence (Machine Learning, Data Mining), artificial intelligence algorithms, blood cancers, blood flow management, Blood Pressure, Blood Proteins, cardiovascular monitoring, catheter, Catheterization, central venous pressure (CVP), Computer Aided Learning, Continuous blood pressure monitoring, critical care, curriculum learning, Deep Learning, Deep learning-based sensing, deep-learning analysis algorithms, heart failure, hemodynamic monitoring, Machine Learning, non-invasive monitoring, Perceptual Learning, pulmonary arterial pressure (PAP), Software & Algorithms, Swan-Ganz catheter

Category(s): Software & Algorithms, Software & Algorithms > Digital Health, Software & Algorithms > Artificial Intelligence & Machine Learning, Medical Devices, Medical Devices > Monitoring And Recording Systems

A Method and System for Pre-processing Medical Images (Case No. 2024-177)

Summary: UCLA researchers in the Department of Electrical and Computer Engineering have developed a novel pre-processing computer algorithm for automated medical imaging. Background: The integration of machine learning and artificial intelligence into medical imaging applications offers significant potential to automate the diagnosis of various...

Published: 2/14/2025 | Inventor(s): Bahram Jalali, Callen MacPhee, Yiming Zhou, Koichiro Kishima

Keywords(s): 3D ultrasound imaging, Artificial Intelligence, bioimaging, Computer Vision, histopathology images, Machine Learning, Medical Imaging, MRI, X-Ray

Category(s): Diagnostic Markers > Cancer, Diagnostic Markers > Immunology, Software & Algorithms > Artificial Intelligence & Machine Learning, Software & Algorithms > Digital Health, Software & Algorithms > Image Processing

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model to improve understanding and visualization of lung diseases. Background: Chronic lower respiratory disease (ex. COPD) was the sixth leading cause of death in the United States in 2021, taking nearly...

Published: 2/14/2025 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

Summary: UCLA researchers have developed a novel method to characterize lung tissue biomechanics and applied it to the creation of a computational model with which to guide lung elastography. Background: Lung cancer is the leading cause of death from cancer in people in the US. With an increasing focus on improving the patient’s quality of...

Published: 2/14/2025 | Inventor(s): Anand Santhanam, Brad Stiehl

Keywords(s): Biomechanics, cardiopulmonary illness, Respiratory & Pulmonary, Simulation & Modeling

Category(s): Software & Algorithms > Statistical Models, Software & Algorithms > Digital Health, Therapeutics > Respiratory And Pulmonary

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